Database and Information Systems

data storage in an enclosureThe rapid growth of big data creates unprecedented demand and opportunities for developing powerful intelligent information systems that help people manage and extract knowledge from data.

Our faculty work on a wide range of research problems, tackling the many challenges associated with developing such intelligent systems and their applications. Research includes helping people search and find relevant data and information; mining massive amounts of heterogeneous data sets to discover actionable knowledge; optimizing the entire workflow of data access, analytics, and exploration; and analyzing large social networks and to optimize human-computer collaboration centered on data.

Our faculty work closely with industry, and many of our algorithms are used in a wide range of information system applications, especially in database and data analytics systems, data mining systems, search engines, and web information service systems.

CS Faculty and Their Research Interests

Kevin C. Chang data mining, database systems, machine learning, information retrieval, web search/mining, social media analytics 
Jiawei Han data mining, data warehousing, database systems, information networks 
Aditya Parameswaran data management, data mining, database theory, interactive systems, crowdsourced computation 
Dan Roth knowledge representation, natural language processing, machine learning 
Saurabh Sinha bioinformatics, genomics 
Hari Sundaram social and information networks, wearable sensors, computational advertising 
Marianne Winslett information security, scientific data management
ChengXiang Zhai information retrieval, text mining, natural language processing, bioinformatics 

Affiliate Faculty

Catherine Blake, Graduate School of Library & Information Science text mining, information synthesis, collaborative information behaviors, recognizing textual entailment, summarization, evidence-based discovery, meta-analysis, socio-technical systems
Bertram Ludascher, Graduate School of Library Information Sciences data and knowledge management, scientific workflow systems, data curation  
Bruce Schatz, Medical Information Science medical informatics, mobile health
Victoria Stodden, Graduate School of Library Information Sciences reproducibility in computational science, data science, policy issues surrounding open data/code sharing  
Shaowen Wang, Geography and Geographic Information Science computational and geographic information science; cyberGIS; multi-scale geospatial problem solving

Database and Information Systems Research Efforts and Groups

Seminar

The Yahoo!-DAIS Seminar is held on Thursdays at 1 PM in 3403 SC. Students who take the DAIS Seminar for credit can miss up to two seminars. Speakers are announced on the DAIS mailing list (as are other items of interest to the DAIS community). It is quick and easy to subscribe to the DAIS mailing list.

Database and Information Systems Research News

There's a lot of excitement about the promise of Data Science: new statistical and computational tools capable of extracting knowledge from the Digital Revolution’s massive deluge of data.

Harnessing the Power of the Data Revolution

August 1, 2016   There's a lot of excitement about the promise of Data Science: new statistical and computational tools capable of extracting knowledge from the Digital Revolution’s massive deluge of data.
Xiang Ren

Ren Receives Prestigious Google Fellowship

March 27, 2016   Xiang Ren received a 2016 Google PhD Fellowship in the Structured Data and Database Management category.
Aditya Parameswaran

Parameswaran Investigates Crowdsourcing in the Computer Science Industry

March 14, 2016   Aditya Parameswaran is co-author of a recently published book that examines crowdsourcing in the high-tech industry.
News story image

Augmented Reality App Enables Intelligent Shopping Experience

February 1, 2016   CS Professor Kevin Chang was part of a team that developed IntelligShop, a shopping and review app.
Siebel Center

Three CS @ ILLINOIS Women among World’s Top Rising Stars

December 9, 2015   Three CS @ ILLINOIS women researchers attended the 2015 Rising Stars workshop at MIT.